基于视觉识别的教室智能节能控制系统研究
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摘要
为了解决高校教室照明和空调粗放管理造成的能源浪费和后勤管理成本增加的问题,基于人数视觉识别技术,设计一种教室智能节能控制系统。通过校园以太网和无线通信实现系统终端和服务器的数据对接,基于视觉识别算法搭建教室控制器,实现对教室照明模块、空调模块、显示模块和语音模块的智能节能控制。试验结果表明:10间教室的识别模块平均精确率在91.2%以上,人数判断精确性较高;单间教室识别模块全天精确率平均值为95.0%,标准差为3.52%,其稳定性较高;教室照明和空调联动控制管理策略,能有效解决教室自习或无人情况下照明和空调的使用管理,对提高高校教学楼管理人员工作效率、降低人力投入成本和推进后勤信息化智能化建设均有着重大的作用。
In order to solve the problems of the energy waste and logistics management cost increase caused by the extensive management of classroom lighting and air conditioners in universities,an intelligent energy-saving control system for classrooms was designed based on the population visual recognition technology. The data connection between the system terminal and the server is realized by means of the campus Ethernet and wireless communication. The classroom controller is built based on the visual recognition algorithm to realize the intelligent energy-saving control of the classroom lighting module,the air-conditioning module,the display module and the voice module. The experiment results show that the average accuracy of the identification modules in the 10 classrooms is above 91.2%,and the population counting accuracy is relatively high;the all day average accuracy of the identification module in each classroom is 95.0%,with a standard deviation of 3.52%,which means the stability is relatively high;The classroom lighting and air-conditioning linkage control management strategy can satisfy the use management of lighting and air-conditioning in self-study time or in the absence of people. It plays an important role in improving the working efficiency of college teaching building administrative staff,reducing the cost of human input,as well as promoting the informatization and intellectualization construction of logistics.
In order to solve the problems of the energy waste and logistics management cost increase caused by the extensive management of classroom lighting and air conditioners in universities,an intelligent energy-saving control system for classrooms was designed based on the population visual recognition technology. The data connection between the system terminal and the server is realized by means of the campus Ethernet and wireless communication. The classroom controller is built based on the visual recognition algorithm to realize the intelligent energy-saving control of the classroom lighting module,the air-conditioning module,the display module and the voice module. The experiment results show that the average accuracy of the identification modules in the 10 classrooms is above 91.2%,and the population counting accuracy is relatively high;the all day average accuracy of the identification module in each classroom is 95.0%,with a standard deviation of 3.52%,which means the stability is relatively high;The classroom lighting and air-conditioning linkage control management strategy can satisfy the use management of lighting and air-conditioning in self-study time or in the absence of people. It plays an important role in improving the working efficiency of college teaching building administrative staff,reducing the cost of human input,as well as promoting the informatization and intellectualization construction of logistics.
引文
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[12]李彬彬.基于Zigbee的高校教室智能照明控制系统的研究[D].哈尔滨:哈尔滨商业大学,2012.LI Binbin. Research on intelligent lighting control system of college classroom based on ZigBee[D]. Harbin:Harbin University of Commerce,2012.
[13]刘雄军.浅谈大学生节能减排意识的提高[J].高校后勤研究,2018(9):45-46.LIU Xiongjun. Talking about the improvement of energy conservation and emission reduction consciousness in college students[J]. University logistics research,2018(9):45-46.
[2]李晓丽.高校照明节电技术和管理方案研究[D].郑州:郑州大学,2013.LI Xiaoli. Research on lighting electricity-sacing technologies and management solutions in university[D]. Zhengzhou:Zhengzhou University,2013.
[3] FANG J,YANG X,YU P,et al. Study on the LED lights intelligent control system based on ZigBee technology[J]. AERadvances in engineering research,2015,22:800-802.
[4] KHAYYAM. Adaptive intelligent control of vehicle air conditioning system[J]. Applied Thermal Engineering,2013,51(1/2):1154-1161.
[5]陈杰.高校教室智能照明控制系统的研究与设计[D].淮南:安徽理工大学,2014.CHEN Jie. The research and design of university classroom intelligent lighting control system[D]. Huainan:Anhui University of Science and Technology,2014.
[6]陈天厚.高校教学楼智能照明控制系统的研究与设计[D].长春:吉林建筑大学,2017.CHEN Tianhou. Research and design of intelligent lighting control system for teaching building in colleges and universities[D]. Changchun:Jilin Jianzhu University,2017.
[7]陈勇.教学楼智能照明控制系统的研究[D].北京:华北电力大学,2011.CHEN Yong. Research of teaching building intelligent lighting control system[D]. Beijing:North China Electric Power University,2011.
[8]王靓,朱瑞华.教学楼宇智能照明控制管理系统的设计[J].现代电子技术,2015,38(24):97-99.WANG Jing,ZHU Ruihua. Design of intelligent lighting control system of teaching building[J]. Modern electronics technique,2015,38(24):97-99.
[9]仇国华,刘应红,周晨晖.一种教室照明的智能管理系统及方法:CN201510586425.X[P].2015-12-09.CHOU Guohua,LIU Yinghong,ZHOU Chenhui. An intelligent management system and method for classroom lighting:CN201510586425.X[P]. 2015-12-09.
[10]沈瑞珠,王旭.高校建筑照明节能措施与效果分析[J].建筑节能,2014(5):74-77.SHEN Ruizhu,WANG Xu. Energy saving measures and effects of lighting for college buildings[J]. Building energy efficiency,2014(5):74-77.
[11]黄香琳.基于物联网的高校教室智慧照明方案研究[J].灯与照明,2015(4):17-20.HUANG Xianglin. Scheme of university classroom smart lighting based on internet of things[J]. Ligth&Lighting,2015(4):17-20.
[12]李彬彬.基于Zigbee的高校教室智能照明控制系统的研究[D].哈尔滨:哈尔滨商业大学,2012.LI Binbin. Research on intelligent lighting control system of college classroom based on ZigBee[D]. Harbin:Harbin University of Commerce,2012.
[13]刘雄军.浅谈大学生节能减排意识的提高[J].高校后勤研究,2018(9):45-46.LIU Xiongjun. Talking about the improvement of energy conservation and emission reduction consciousness in college students[J]. University logistics research,2018(9):45-46.